Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add tdimino/claude-code-minoan --skill pellicolagit clone --depth 1 https://github.com/tdimino/claude-code-minoanWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/tdimino/claude-code-minoan/pellicola)<a href="https://agentmods.dev/skills/tdimino/claude-code-minoan/pellicola"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/pellicola/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/tdimino/claude-code-minoan/pellicola"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/pellicola.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.02926 |
| Opus 5 | $0.00000 | $0.01463 |
| Sonnet 5 | $0.00000 | $0.00585 |
| Haiku 4.5 | $0.00000 | $0.00293 |
Grade A, and why
pellicola scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Build cinematic case study pages — the kind you see on film production company sites, documentary showcases, and photographer portfolios. Warm analog palette, domain-specific components, scroll-choreographed reveals. Single-file HTML, zero build step.
"Pellicola" is Italian for film — literally "little skin," the celluloid stock.
Creative Direction
The aesthetic is analog cinema on the web — warm cream backgrounds like unbleached paper stock, deep ink-black text, a single red accent reserved exclusively for the play button. Typography pairs a dramatic display serif (headlines, names) with a precise geometric sans (labels, navigation). Every image is framed like a film still — cream padding, rounded corners, subtle shadow creating a polaroid/celluloid look.
If the minoan-frontend-design skill is available, read it for broader aesthetic principles. Pellicola encodes those principles into a concrete design system for the cinematic case study genre. Pages built with Pellicola should score 16+/20 on /design-audit and 28+/40 on /design-critique.
Name the conceptual direction before coding. Default: "analog screening room." Override with project-specific direction when appropriate — "70mm documentary," "festival press kit," "darkroom portfolio."
Quick Start
# Generate a full case study page
python3 scripts/pellicola_generator.py --mode case-study --title "Taboo" --output taboo.html
# Generate just the hero section
python3 scripts/pellicola_generator.py --mode hero --title "Ana Maxim" --output hero.html
# Generate a credits grid
python3 scripts/pellicola_generator.py --mode credits --output credits.html
# Generate a dark footage gallery
python3 scripts/pellicola_generator.py --mode gallery --output gallery.html
# Validate a pellicola page
python3 scripts/validate_pellicola.py output.html
Or let Claude generate directly from the templates and references.
Modes
| Mode | Template | What it generates |
|---|---|---|
case-study |
assets/templates/case-study.html |
Full page: hero + credits + footage gallery + prizes + investors + next-project |
hero |
assets/templates/hero-section.html |
Film-frame hero + title overlay + play button only |
credits |
assets/templates/credits-grid.html |
Credit grid + director portrait card only |
gallery |
assets/templates/footage-gallery.html |
Dark gallery section only (reusable dark image grid) |
What ships with it
14 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/templates/case-study.html 25 KB
- assets/templates/credits-grid.html 7.8 KB
- assets/templates/footage-gallery.html 6.6 KB
- assets/templates/hero-section.html 6.5 KB
- README.md 7.9 KB
- references/animation-system.md 8.0 KB
- references/anti-patterns.md 3.1 KB
- references/color-system.md 3.7 KB
- references/component-catalog.md 16 KB
- references/design-tokens.md 5.9 KB
- references/page-architecture.md 9.2 KB
- references/typography-pairing.md 5.0 KB
- scripts/pellicola_generator.py 4.3 KB runs code
- scripts/validate_pellicola.py 5.1 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 234 lines · 0 tokens per session scan A be53284bb4bb
pellicola is a skill published in the GitHub repository tdimino/claude-code-minoan (41 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,926 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
art-director
Orchestrate iterative visual style searches with branch prompts, decision graphs, feedback loops, and final direction selection.
visualize
Render a polished visual inline in the chat as part of your answer — a diagram, a chart, an interactive explainer, or a UI mockup. Load it proactively whenever an explanation would land better as a picture than as prose. Do not wait to be asked.
vellum-avatar
Customize the assistant's avatar - build a native character, upload an image, or generate one with AI.
openscreen-design
Use this skill to generate well-branded interfaces and assets for OpenScreen (an AI-native screen-recording studio & video editor), either for production or throwaway prototypes/mocks/etc. Contains essential design guidelines, colors, type, fonts, assets, and UI kit components for prototyping.
concept-to-image
Turn concepts into static HTML visuals exported as PNG or SVG files via HTML/CSS/SVG. Triggers on: "create an image of", "export as PNG", "save as SVG", "concept to image", "screenshot this HTML". NOT for interactive HTML, use static-web-artifacts-builder.
tldraw
Generate hand-drawn whiteboard-style diagrams (.tldr) from natural language and export to PNG/SVG via tldraw-cli, with vision-based self-check and an iterative review loop. Covers flowcharts, sequence diagrams, ERDs, UML sketches, and ML model diagrams. Triggers on: "whiteboard diagram", "sketch this out", "tldraw…